纯测角无源定位跟踪算法研究  

Research on Passive Locating and Tracking with Bearings-only Measurements

作　　者：熊伟[1] 王瑞[2] 李智[1] 

机构地区：[1]装备指挥技术学院重点实验室,北京101416 [2]装备指挥技术学院研究生管理大队,北京101416

出　　处：《装备指挥技术学院学报》2009年第5期72-76,共5页Journal of the Academy of Equipment Command & Technology

摘　　要：研究了纯测角无源定位跟踪技术的特点,建立了双传感器观测的纯测角修正增益扩展卡尔曼滤波算法（modified gain extended Kalman filter,MGEKF）。为克服MGEKF算法中非线性滤波效果差的缺点,进一步提出了基于测角量无迹变换的卡尔曼滤波算法（observing angle unscented transformed Kalmanfilter,OAUKF）。通过实验仿真分析,比较了目标在弱机动和强机动的条件下MGEKF算法和OAUKF算法的跟踪效果。结果表明,后者能无偏且更加有效地实现目标的跟踪。The characteristics of passive locating and tracking with bearings-only measurements is studied. The modified gain extended Kalman filter （MGEKF） for tracking maneuvering target by two infrared sensors is analyzed. MGEKF is based on local linearization of EKF,the nonlinear estimation is not very precise, an observing angle unscented transformed Kalman filter （OAUKF） is put forward. Compared the MGEKF and OAUKF in small and strong maneuvering target, the simulation result shows that the OAUKF could be unbiased and effectively achieve the tracking mission.

关 键 词：机动目标 纯方位跟踪 修正增益扩展卡尔曼滤波 

分 类 号：TN953[电子电信—信号与信息处理]